Example learning-driven content-related website mining method

Abstract

Aiming at the problem that the requirement of people for mining and recommending content associated websites cannot be met in the prior art, the invention provides a method for mining approximate websites and recommending the similar websites to users by learning example websites. The method comprises the following steps of: learning the example websites, mining other websites associated with thecontents of the example websites according to the theme contents of the websites, and recommending the other websites to the users. Website theme information is learned through the example websites, the example website system intelligently explores new websites associated with the theme contents of the example websites and recommends the new websites to the users, so the information level concerned or browsed by the users is broadened, the users can acquire other information associated with the browsed information more conveniently and quickly, information search time is saved, and informationsearch efficiency is improved. The method has a good promotion effect on information acquisition of the users, has the advantages of high interaction performance, high intelligent degree, high expandability, high recommendation speed, high mining precision and the like, and has huge utilization value and market application space.

Description

technical field [0001] The invention relates to a method for discovering content-associated websites, in particular to a method for discovering content-associated websites driven by example learning, and belongs to the technical field of recommending content-associated websites. Background technique [0002] With the application of information technology more and more widely, the network has had a huge impact on human life, changed people's way of life to a certain extent, and the main source of people's access to information has also changed. Today's network has become the largest information resource However, with the development of information technology, the daily amount of information is increasing at a rate of more than 100 million, and it has become a difficult problem to obtain the required information from the massive amount of information. When users browse or search for certain types of information on the Internet, they generally hope that the system will provide ...

AI Technical Summary

Problems solved by technology

[0012] The example learning-driven content-related website mining method provided by the present invention aims at the fact that the websites in the prior art cannot meet people's needs for content-related website discovery, and proposes a method of learning example websites to discover similar websites and recommending them to users. First, the example website Carry out learning, and then discover other websites related to its content according to the theme content of the website, and recommend them to users; learn the theme information of the website through the example website, realize the example website system to intelligently discover new websites related to its theme content and recommend them to users, and expand users The information level of attention or browsing allows users to obtain other information related to browsing information more conveniently and quickly, saves information search time, improves information search efficiency, and plays a good role in promoting users to obtain information. It has strong interactive performance and intelligence High level, high scalability, fast recommendation speed, good language transplantation ability, high mining accuracy and other advantages, with huge use value and market application space

Images